What do pedometer counts represent? A comparison between pedometer data and data from four different questionnaires

Public Health Nutr. 2009 Jan;12(1):74-81. doi: 10.1017/S1368980008001973. Epub 2008 Mar 20.

Abstract

Objectives: To compare physical activity (PA) reported through pedometer registrations (step counts) with PA reported in four different questionnaires; to compare step count thresholds (7,500, 10,000 and 12,500 steps/d) with the PA guideline of 30 min of moderate to vigorous PA (MVPA) per day.

Subjects: A sample of 310 healthy adults, mean age 38.7 (sd 11.9) years, volunteered to participate. Forty-seven per cent was male and 93 % of the sample was employed.

Methods: PA was assessed by interview (Minnesota Leisure Time Physical Activity Questionnaire (MLTPAQ)), three self-administered questionnaires (long version and short version of the International Physical Activity Questionnaire (long-form IPAQ, short-form IPAQ), Baecke questionnaire) and seven consecutive days of pedometer registration.

Results: Step counts correlated positively with questionnaire-based PA. The strongest correlations were found between step counts and total PA reported in the long-form IPAQ (rs = 0.37), moderate PA reported in the short-form IPAQ (rs = 0.33), total and moderate PA reported in the MLTPAQ (rs = 0.32), and the total and leisure-time PA indices (excluding sport) reported in the Baecke questionnaire (rs = 0.44). According to step counts, 22.6 % of the participants were somewhat active, 18.7 % active and 39.4 % highly active. As assessed by the long-form IPAQ, short-form IPAQ and MLTPAQ, the guideline of 30 min MVPA/d was reached by respectively 85.4 %, 84.8 % and 68.0 % of participants.

Conclusion: Pedometer-based data offer adequate information to discriminate between levels of PA. Caution is needed when comparing active samples based on different PA recommendations.

Publication types

  • Comparative Study
  • Validation Study

MeSH terms

  • Adult
  • Exercise* / psychology
  • Female
  • Humans
  • Male
  • Monitoring, Ambulatory / instrumentation*
  • Statistics as Topic
  • Surveys and Questionnaires* / standards
  • Walking